{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "87494a98-2663-4d9b-95e9-7be3782383fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "434c82f2-c7a8-4bb9-886a-baea6de655f1",
   "metadata": {},
   "source": [
    "## 绘制散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a5bf502a-920a-4d15-8dcb-dbfb1a597723",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 导入示例数据\n",
    "df1 = sns.load_dataset(\"tips\")\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7bcf92c1-08db-487f-8935-6a6051931e6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 传入DataFrame作为数据，以total_bill为横轴数据，tip为纵轴数据，绘制散点图\n",
    "sns.scatterplot(df1, x=\"total_bill\", y=\"tip\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "54f7a0d2-7dea-4c68-9636-e4b190874039",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 传入Series作为数据，以df1的total_bill为横轴数据，df1的tip为纵轴数据，绘制散点图\n",
    "sns.scatterplot(x=df1[\"total_bill\"], y=df1[\"tip\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bef3800-73bb-4cec-a847-0e0826fc3d02",
   "metadata": {},
   "source": [
    "## 绘制折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "709f6200-1c28-4b5b-871a-e53e58c04f9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949</td>\n",
       "      <td>Jan</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1950</td>\n",
       "      <td>Jan</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1951</td>\n",
       "      <td>Jan</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1952</td>\n",
       "      <td>Jan</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>1953</td>\n",
       "      <td>Jan</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1954</td>\n",
       "      <td>Jan</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1955</td>\n",
       "      <td>Jan</td>\n",
       "      <td>242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>1956</td>\n",
       "      <td>Jan</td>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1957</td>\n",
       "      <td>Jan</td>\n",
       "      <td>315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>1958</td>\n",
       "      <td>Jan</td>\n",
       "      <td>340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>1959</td>\n",
       "      <td>Jan</td>\n",
       "      <td>360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>1960</td>\n",
       "      <td>Jan</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     year month  passengers\n",
       "0    1949   Jan         112\n",
       "12   1950   Jan         115\n",
       "24   1951   Jan         145\n",
       "36   1952   Jan         171\n",
       "48   1953   Jan         196\n",
       "60   1954   Jan         204\n",
       "72   1955   Jan         242\n",
       "84   1956   Jan         284\n",
       "96   1957   Jan         315\n",
       "108  1958   Jan         340\n",
       "120  1959   Jan         360\n",
       "132  1960   Jan         417"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 导入示例数据\n",
    "df2 = sns.load_dataset(\"flights\").query(\"month == 'Jan'\")\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4c1236d6-6474-4488-bf4f-7913a9030305",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 以year为横轴数据，passengers为纵轴数据，绘制折线图\n",
    "sns.lineplot(data=df2, x=\"year\", y=\"passengers\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d0f5d7d-e712-4cf5-bbef-51638068ab22",
   "metadata": {},
   "source": [
    "## 绘制条形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "522ccbc7-9ed1-4086-828b-fa9b631ff88a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>species</th>\n",
       "      <th>island</th>\n",
       "      <th>bill_length_mm</th>\n",
       "      <th>bill_depth_mm</th>\n",
       "      <th>flipper_length_mm</th>\n",
       "      <th>body_mass_g</th>\n",
       "      <th>sex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>39.1</td>\n",
       "      <td>18.7</td>\n",
       "      <td>181.0</td>\n",
       "      <td>3750.0</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>39.5</td>\n",
       "      <td>17.4</td>\n",
       "      <td>186.0</td>\n",
       "      <td>3800.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>40.3</td>\n",
       "      <td>18.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3250.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>36.7</td>\n",
       "      <td>19.3</td>\n",
       "      <td>193.0</td>\n",
       "      <td>3450.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>Gentoo</td>\n",
       "      <td>Biscoe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>Gentoo</td>\n",
       "      <td>Biscoe</td>\n",
       "      <td>46.8</td>\n",
       "      <td>14.3</td>\n",
       "      <td>215.0</td>\n",
       "      <td>4850.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>Gentoo</td>\n",
       "      <td>Biscoe</td>\n",
       "      <td>50.4</td>\n",
       "      <td>15.7</td>\n",
       "      <td>222.0</td>\n",
       "      <td>5750.0</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>Gentoo</td>\n",
       "      <td>Biscoe</td>\n",
       "      <td>45.2</td>\n",
       "      <td>14.8</td>\n",
       "      <td>212.0</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>Gentoo</td>\n",
       "      <td>Biscoe</td>\n",
       "      <td>49.9</td>\n",
       "      <td>16.1</td>\n",
       "      <td>213.0</td>\n",
       "      <td>5400.0</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>344 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    species     island  bill_length_mm  bill_depth_mm  flipper_length_mm  \\\n",
       "0    Adelie  Torgersen            39.1           18.7              181.0   \n",
       "1    Adelie  Torgersen            39.5           17.4              186.0   \n",
       "2    Adelie  Torgersen            40.3           18.0              195.0   \n",
       "3    Adelie  Torgersen             NaN            NaN                NaN   \n",
       "4    Adelie  Torgersen            36.7           19.3              193.0   \n",
       "..      ...        ...             ...            ...                ...   \n",
       "339  Gentoo     Biscoe             NaN            NaN                NaN   \n",
       "340  Gentoo     Biscoe            46.8           14.3              215.0   \n",
       "341  Gentoo     Biscoe            50.4           15.7              222.0   \n",
       "342  Gentoo     Biscoe            45.2           14.8              212.0   \n",
       "343  Gentoo     Biscoe            49.9           16.1              213.0   \n",
       "\n",
       "     body_mass_g     sex  \n",
       "0         3750.0    Male  \n",
       "1         3800.0  Female  \n",
       "2         3250.0  Female  \n",
       "3            NaN     NaN  \n",
       "4         3450.0  Female  \n",
       "..           ...     ...  \n",
       "339          NaN     NaN  \n",
       "340       4850.0  Female  \n",
       "341       5750.0    Male  \n",
       "342       5200.0  Female  \n",
       "343       5400.0    Male  \n",
       "\n",
       "[344 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 导入示例数据\n",
    "df3 = sns.load_dataset(\"penguins\")\n",
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "22866541-ac6e-4b21-a0c5-e9004b6c034f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 以species为横轴数据，body_mass_g为纵轴数据，聚合操作为求平均值，绘制条形图\n",
    "sns.barplot(data=df3, x=\"species\", y=\"body_mass_g\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0362fd9a-7c0d-4c76-a1d5-766fd1c3c483",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 以species为横轴数据，body_mass_g为纵轴数据，聚合操作为求最大值，绘制条形图\n",
    "sns.barplot(data=df3, x=\"species\", y=\"body_mass_g\", estimator=np.max)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ae5cb26-f6d8-4d2a-8887-40911fb9d734",
   "metadata": {},
   "source": [
    "## 绘制计数图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f9767b89-47a2-4157-a404-f1cec2de3e28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjsAAAGwCAYAAABPSaTdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAurklEQVR4nO3de1zUdd7//+cgMCDHQARJPGReaWZqmoaaWVKkZXnlVnaxLRaXtiqaUepSCmUZV3ZyNdL08rDd0s1rK21zi3I9rwc8pdt6PqCyKVgZECiI8v790a/5NqlpODrDu8f9dvvcbs7n85nPvIY+2aOZzzAOY4wRAACApfy8PQAAAMClROwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGr+3h7AF9TU1Ojw4cMKCwuTw+Hw9jgAAOACGGP03XffKT4+Xn5+5379htiRdPjwYSUkJHh7DAAAUAuFhYVq3LjxObcTO5LCwsIkff/DCg8P9/I0AADgQpSVlSkhIcH13/FzIXYk11tX4eHhxA4AAHXM+S5B4QJlAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABW8/f2ALaY8NEb3h4BPuSZvuneHgEA8P/jlR0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABW82rsrFy5Un379lV8fLwcDocWLlx4zn1///vfy+FwaNKkSW7rjx07ppSUFIWHhysyMlJpaWkqLy+/tIMDAIA6w6uxU1FRoXbt2ik3N/dn91uwYIHWrVun+Pj4M7alpKRo27ZtWrx4sRYtWqSVK1dq8ODBl2pkAABQx/h788F79+6t3r17/+w+X375pYYPH65PP/1Ud911l9u2HTt2KC8vTxs2bFCnTp0kSVOmTFGfPn30yiuvnDWOAADAr4tPX7NTU1Ojhx9+WKNGjVKbNm3O2L527VpFRka6QkeSkpKS5Ofnp/z8/HMet6qqSmVlZW4LAACwk0/HzksvvSR/f3+NGDHirNuLiorUsGFDt3X+/v6KiopSUVHROY+bk5OjiIgI15KQkODRuQEAgO/w2djZtGmT/vjHP2rOnDlyOBwePXZmZqZKS0tdS2FhoUePDwAAfIfPxs6qVat09OhRNWnSRP7+/vL399fBgwf15JNPqlmzZpKkuLg4HT161O1+p06d0rFjxxQXF3fOYzudToWHh7stAADATl69QPnnPPzww0pKSnJbl5ycrIcffliPPPKIJCkxMVElJSXatGmTOnbsKElaunSpampq1KVLl8s+MwAA8D1ejZ3y8nLt3bvXdbugoEBbtmxRVFSUmjRpoujoaLf9AwICFBcXp2uuuUaS1Lp1a915550aNGiQpk2bpurqaqWnp2vAgAF8EgsAAEjy8ttYGzduVIcOHdShQwdJUkZGhjp06KCsrKwLPsbcuXPVqlUr9erVS3369FH37t01ffr0SzUyAACoY7z6yk7Pnj1ljLng/Q8cOHDGuqioKM2bN8+DUwEAAJv47AXKAAAAnkDsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACr+Xt7AADAr8ddOS96ewT4kL9lPn1ZHodXdgAAgNWIHQAAYDViBwAAWI3YAQAAVvNq7KxcuVJ9+/ZVfHy8HA6HFi5c6NpWXV2tMWPGqG3btgoJCVF8fLx+97vf6fDhw27HOHbsmFJSUhQeHq7IyEilpaWpvLz8Mj8TAADgq7waOxUVFWrXrp1yc3PP2Hb8+HFt3rxZ48aN0+bNm/XBBx9o165duueee9z2S0lJ0bZt27R48WItWrRIK1eu1ODBgy/XUwAAAD7Oqx897927t3r37n3WbREREVq8eLHbujfeeEOdO3fWoUOH1KRJE+3YsUN5eXnasGGDOnXqJEmaMmWK+vTpo1deeUXx8fGX/DkAAADfVqeu2SktLZXD4VBkZKQkae3atYqMjHSFjiQlJSXJz89P+fn55zxOVVWVysrK3BYAAGCnOhM7lZWVGjNmjB566CGFh4dLkoqKitSwYUO3/fz9/RUVFaWioqJzHisnJ0cRERGuJSEh4ZLODgAAvKdOxE51dbUeeOABGWM0derUiz5eZmamSktLXUthYaEHpgQAAL7I578u4ofQOXjwoJYuXep6VUeS4uLidPToUbf9T506pWPHjikuLu6cx3Q6nXI6nZdsZgAA4Dt8+pWdH0Jnz549+vvf/67o6Gi37YmJiSopKdGmTZtc65YuXaqamhp16dLlco8LAAB8kFdf2SkvL9fevXtdtwsKCrRlyxZFRUWpUaNG+s1vfqPNmzdr0aJFOn36tOs6nKioKAUGBqp169a68847NWjQIE2bNk3V1dVKT0/XgAED+CQWAACQ5OXY2bhxo2699VbX7YyMDElSamqqnn32Wf31r3+VJLVv397tfsuWLVPPnj0lSXPnzlV6erp69eolPz8/9e/fX5MnT74s8wMAAN/n1djp2bOnjDHn3P5z234QFRWlefPmeXIsAABgEZ++ZgcAAOBiETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACs5tXYWblypfr27av4+Hg5HA4tXLjQbbsxRllZWWrUqJGCg4OVlJSkPXv2uO1z7NgxpaSkKDw8XJGRkUpLS1N5efllfBYAAMCXeTV2Kioq1K5dO+Xm5p51+8SJEzV58mRNmzZN+fn5CgkJUXJysiorK137pKSkaNu2bVq8eLEWLVqklStXavDgwZfrKQAAAB/n780H7927t3r37n3WbcYYTZo0SWPHjtW9994rSXr77bcVGxurhQsXasCAAdqxY4fy8vK0YcMGderUSZI0ZcoU9enTR6+88ori4+PPeuyqqipVVVW5bpeVlXn4mQEAAF/hs9fsFBQUqKioSElJSa51ERER6tKli9auXStJWrt2rSIjI12hI0lJSUny8/NTfn7+OY+dk5OjiIgI15KQkHDpnggAAPAqn42doqIiSVJsbKzb+tjYWNe2oqIiNWzY0G27v7+/oqKiXPucTWZmpkpLS11LYWGhh6cHAAC+wqtvY3mL0+mU0+n09hgAAOAy8NlXduLi4iRJxcXFbuuLi4td2+Li4nT06FG37adOndKxY8dc+wAAgF83n42d5s2bKy4uTkuWLHGtKysrU35+vhITEyVJiYmJKikp0aZNm1z7LF26VDU1NerSpctlnxkAAPger76NVV5err1797puFxQUaMuWLYqKilKTJk00cuRIvfDCC2rZsqWaN2+ucePGKT4+Xv369ZMktW7dWnfeeacGDRqkadOmqbq6Wunp6RowYMA5P4kFAAB+XbwaOxs3btStt97qup2RkSFJSk1N1Zw5czR69GhVVFRo8ODBKikpUffu3ZWXl6egoCDXfebOnav09HT16tVLfn5+6t+/vyZPnnzZnwsAAPBNXo2dnj17yhhzzu0Oh0Pjx4/X+PHjz7lPVFSU5s2bdynGAwAAFvDZa3YAAAA8gdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAVqtV7Nx2220qKSk5Y31ZWZluu+22i50JAADAY2oVO8uXL9fJkyfPWF9ZWalVq1Zd9FAAAACe4v9Ldv7nP//p+vP27dtVVFTkun369Gnl5eXpyiuv9Nx0AAAAF+kXxU779u3lcDjkcDjO+nZVcHCwpkyZ4rHhAAAALtYvip2CggIZY3TVVVdp/fr1iomJcW0LDAxUw4YNVa9ePY8PCQAAUFu/KHaaNm0qSaqpqbkkwwAAAHjaL4qdH9uzZ4+WLVumo0ePnhE/WVlZFz0YAACAJ9QqdmbMmKEhQ4aoQYMGiouLk8PhcG1zOBzEDgAA8Bm1ip0XXnhBEyZM0JgxYzw9DwAAgEfV6vfsfPvtt7r//vs9PQsAAIDH1Sp27r//fn322WeengUAAMDjavU21tVXX61x48Zp3bp1atu2rQICAty2jxgxwiPDAQAAXKxaxc706dMVGhqqFStWaMWKFW7bHA4HsQMAAHxGrd7GKigoOOeyf/9+jw13+vRpjRs3Ts2bN1dwcLBatGih559/XsYY1z7GGGVlZalRo0YKDg5WUlKS9uzZ47EZAABA3Var2LlcXnrpJU2dOlVvvPGGduzYoZdeekkTJ050+0qKiRMnavLkyZo2bZry8/MVEhKi5ORkVVZWenFyAADgK2r1Ntajjz76s9tnzZpVq2F+as2aNbr33nt11113SZKaNWumP//5z1q/fr2k71/VmTRpksaOHat7771XkvT2228rNjZWCxcu1IABA8563KqqKlVVVblul5WVeWReAADge2r90fMfL0ePHtXSpUv1wQcfqKSkxGPDde3aVUuWLNHu3bslSVu3btU//vEP9e7dW9L3b6cVFRUpKSnJdZ+IiAh16dJFa9euPedxc3JyFBER4VoSEhI8NjMAAPAttXplZ8GCBWesq6mp0ZAhQ9SiRYuLHuoHf/jDH1RWVqZWrVqpXr16On36tCZMmKCUlBRJUlFRkSQpNjbW7X6xsbGubWeTmZmpjIwM1+2ysjKCBwAAS9X6u7F+ys/PTxkZGerZs6dGjx7tkWP+3//9n+bOnat58+apTZs22rJli0aOHKn4+HilpqbW+rhOp1NOp9MjMwIAAN/msdiRpH379unUqVMeO96oUaP0hz/8wXXtTdu2bXXw4EHl5OQoNTVVcXFxkqTi4mI1atTIdb/i4mK1b9/eY3MAAIC6q1ax8+O3gKTvLxQ+cuSI/va3v13UKy4/dfz4cfn5uV9WVK9ePde3rDdv3lxxcXFasmSJK27KysqUn5+vIUOGeGwOAABQd9Uqdj7//HO3235+foqJidGrr7563k9q/RJ9+/bVhAkT1KRJE7Vp00aff/65XnvtNddjOBwOjRw5Ui+88IJatmyp5s2ba9y4cYqPj1e/fv08NgcAAKi7ahU7y5Yt8/QcZzVlyhSNGzdOQ4cO1dGjRxUfH6/HHntMWVlZrn1Gjx6tiooKDR48WCUlJerevbvy8vIUFBR0WWYEAAC+7aKu2fnqq6+0a9cuSdI111yjmJgYjwz1g7CwME2aNEmTJk065z4Oh0Pjx4/X+PHjPfrYAADADrX6PTsVFRV69NFH1ahRI/Xo0UM9evRQfHy80tLSdPz4cU/PCAAAUGu1ip2MjAytWLFCH330kUpKSlRSUqIPP/xQK1as0JNPPunpGQEAAGqtVm9jvf/++3rvvffUs2dP17o+ffooODhYDzzwgKZOneqp+QAAAC5KrV7ZOX78+Bm/tViSGjZsyNtYAADAp9QqdhITE5Wdne32zeInTpzQc889p8TERI8NBwAAcLFq9TbWpEmTdOedd6px48Zq166dpO+/pNPpdOqzzz7z6IAAAAAXo1ax07ZtW+3Zs0dz587Vzp07JUkPPfSQUlJSFBwc7NEBAQAALkatYicnJ0exsbEaNGiQ2/pZs2bpq6++0pgxYzwyHAAAwMWq1TU7b731llq1anXG+jZt2mjatGkXPRQAAICn1Cp2ioqK3L5l/AcxMTE6cuTIRQ8FAADgKbWKnYSEBK1evfqM9atXr1Z8fPxFDwUAAOAptbpmZ9CgQRo5cqSqq6t12223SZKWLFmi0aNH8xuUAQCAT6lV7IwaNUrffPONhg4dqpMnT0qSgoKCNGbMGGVmZnp0QAAAgItRq9hxOBx66aWXNG7cOO3YsUPBwcFq2bKlnE6np+cDAAC4KLWKnR+Ehobqxhtv9NQsAAAAHlerC5QBAADqCmIHAABYjdgBAABWI3YAAIDViB0AAGC1i/o0FgDf9t8zX/X2CPAh/5vGL33FrxOv7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGo+Hztffvmlfvvb3yo6OlrBwcFq27atNm7c6NpujFFWVpYaNWqk4OBgJSUlac+ePV6cGAAA+BKfjp1vv/1W3bp1U0BAgD755BNt375dr776qq644grXPhMnTtTkyZM1bdo05efnKyQkRMnJyaqsrPTi5AAAwFf4e3uAn/PSSy8pISFBs2fPdq1r3ry568/GGE2aNEljx47VvffeK0l6++23FRsbq4ULF2rAgAGXfWYAAOBbfPqVnb/+9a/q1KmT7r//fjVs2FAdOnTQjBkzXNsLCgpUVFSkpKQk17qIiAh16dJFa9euPedxq6qqVFZW5rYAAAA7+XTs7N+/X1OnTlXLli316aefasiQIRoxYoT+9Kc/SZKKiookSbGxsW73i42NdW07m5ycHEVERLiWhISES/ckAACAV/l07NTU1OiGG27Qiy++qA4dOmjw4MEaNGiQpk2bdlHHzczMVGlpqWspLCz00MQAAMDX+HTsNGrUSNdee63butatW+vQoUOSpLi4OElScXGx2z7FxcWubWfjdDoVHh7utgAAADv5dOx069ZNu3btclu3e/duNW3aVNL3FyvHxcVpyZIlru1lZWXKz89XYmLiZZ0VAAD4Jp/+NNYTTzyhrl276sUXX9QDDzyg9evXa/r06Zo+fbokyeFwaOTIkXrhhRfUsmVLNW/eXOPGjVN8fLz69evn3eEBAIBP8OnYufHGG7VgwQJlZmZq/Pjxat68uSZNmqSUlBTXPqNHj1ZFRYUGDx6skpISde/eXXl5eQoKCvLi5AAAwFf4dOxI0t1336277777nNsdDofGjx+v8ePHX8apAABAXeHT1+wAAABcLGIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAVqtTsfM///M/cjgcGjlypGtdZWWlhg0bpujoaIWGhqp///4qLi723pAAAMCn1JnY2bBhg9566y1df/31buufeOIJffTRR/rLX/6iFStW6PDhw7rvvvu8NCUAAPA1dSJ2ysvLlZKSohkzZuiKK65wrS8tLdXMmTP12muv6bbbblPHjh01e/ZsrVmzRuvWrfPixAAAwFfUidgZNmyY7rrrLiUlJbmt37Rpk6qrq93Wt2rVSk2aNNHatWvPebyqqiqVlZW5LQAAwE7+3h7gfN59911t3rxZGzZsOGNbUVGRAgMDFRkZ6bY+NjZWRUVF5zxmTk6OnnvuOU+PCgAAfJBPv7JTWFioxx9/XHPnzlVQUJDHjpuZmanS0lLXUlhY6LFjAwAA3+LTsbNp0yYdPXpUN9xwg/z9/eXv768VK1Zo8uTJ8vf3V2xsrE6ePKmSkhK3+xUXFysuLu6cx3U6nQoPD3dbAACAnXz6baxevXrpiy++cFv3yCOPqFWrVhozZowSEhIUEBCgJUuWqH///pKkXbt26dChQ0pMTPTGyAAAwMf4dOyEhYXpuuuuc1sXEhKi6Oho1/q0tDRlZGQoKipK4eHhGj58uBITE3XTTTd5Y2QAAOBjfDp2LsTrr78uPz8/9e/fX1VVVUpOTtabb77p7bEAAICPqHOxs3z5crfbQUFBys3NVW5urncGAgAAPs2nL1AGAAC4WMQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAq/l07OTk5OjGG29UWFiYGjZsqH79+mnXrl1u+1RWVmrYsGGKjo5WaGio+vfvr+LiYi9NDAAAfI1Px86KFSs0bNgwrVu3TosXL1Z1dbXuuOMOVVRUuPZ54okn9NFHH+kvf/mLVqxYocOHD+u+++7z4tQAAMCX+Ht7gJ+Tl5fndnvOnDlq2LChNm3apB49eqi0tFQzZ87UvHnzdNttt0mSZs+erdatW2vdunW66aabznrcqqoqVVVVuW6XlZVduicBAAC8yqdf2fmp0tJSSVJUVJQkadOmTaqurlZSUpJrn1atWqlJkyZau3btOY+Tk5OjiIgI15KQkHBpBwcAAF5TZ2KnpqZGI0eOVLdu3XTddddJkoqKihQYGKjIyEi3fWNjY1VUVHTOY2VmZqq0tNS1FBYWXsrRAQCAF/n021g/NmzYMP3rX//SP/7xj4s+ltPplNPp9MBUAADA19WJV3bS09O1aNEiLVu2TI0bN3atj4uL08mTJ1VSUuK2f3FxseLi4i7zlAAAwBf5dOwYY5Senq4FCxZo6dKlat68udv2jh07KiAgQEuWLHGt27Vrlw4dOqTExMTLPS4AAPBBPv021rBhwzRv3jx9+OGHCgsLc12HExERoeDgYEVERCgtLU0ZGRmKiopSeHi4hg8frsTExHN+EgsAAPy6+HTsTJ06VZLUs2dPt/WzZ8/WwIEDJUmvv/66/Pz81L9/f1VVVSk5OVlvvvnmZZ4UAAD4Kp+OHWPMefcJCgpSbm6ucnNzL8NEAACgrvHpa3YAAAAuFrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAq1kTO7m5uWrWrJmCgoLUpUsXrV+/3tsjAQAAH2BF7MyfP18ZGRnKzs7W5s2b1a5dOyUnJ+vo0aPeHg0AAHiZFbHz2muvadCgQXrkkUd07bXXatq0aapfv75mzZrl7dEAAICX+Xt7gIt18uRJbdq0SZmZma51fn5+SkpK0tq1a896n6qqKlVVVblul5aWSpLKyspqPUfl8RO1vi/sczHnkiedPFHp7RHgQ3zhvKyu5JzE/3Ox5+QP9zfG/PyOpo778ssvjSSzZs0at/WjRo0ynTt3Put9srOzjSQWFhYWFhYWC5bCwsKfbYU6/8pObWRmZiojI8N1u6amRseOHVN0dLQcDocXJ6vbysrKlJCQoMLCQoWHh3t7HEAS5yV8D+ek5xhj9N133yk+Pv5n96vzsdOgQQPVq1dPxcXFbuuLi4sVFxd31vs4nU45nU63dZGRkZdqxF+d8PBw/gWGz+G8hK/hnPSMiIiI8+5T5y9QDgwMVMeOHbVkyRLXupqaGi1ZskSJiYlenAwAAPiCOv/KjiRlZGQoNTVVnTp1UufOnTVp0iRVVFTokUce8fZoAADAy6yInQcffFBfffWVsrKyVFRUpPbt2ysvL0+xsbHeHu1Xxel0Kjs7+4y3CAFv4ryEr+GcvPwcxpzv81oAAAB1V52/ZgcAAODnEDsAAMBqxA4AALAasYNf7Nlnn1X79u0veP8DBw7I4XBoy5YtkqTly5fL4XCopKTkksyHusnhcGjhwoXn3M55A6C2iB1IktauXat69erprrvuuuSP1bVrVx05cuSCfhEU7FFUVKThw4frqquuktPpVEJCgvr27ev2O7J+jqfPm18a7fj1KSoq0uOPP66rr75aQUFBio2NVbdu3TR16lQdP37cY4/Ts2dPjRw50mPHw5ms+Og5Lt7MmTM1fPhwzZw5U4cPHz7vr96+GIGBgef87daw04EDB9StWzdFRkbq5ZdfVtu2bVVdXa1PP/1Uw4YN086dO897DG+dN9XV1QoICLjsjwvv2r9/v+ucffHFF9W2bVs5nU598cUXmj59uq688krdc8893h4TF8ozX8eJuuy7774zoaGhZufOnebBBx80EyZMcNuek5NjGjZsaEJDQ82jjz5qxowZY9q1a+e2z4wZM0yrVq2M0+k011xzjcnNzXVtKygoMJLM559/bowxZtmyZUaS+fbbb137rFq1ynTv3t0EBQWZxo0bm+HDh5vy8vJL9ZRxmfXu3dtceeWVZ/1n+sN5IMnMmDHD9OvXzwQHB5urr77afPjhh679fnrezJ4920RERJi8vDzTqlUrExISYpKTk83hw4fd7nPjjTea+vXrm4iICNO1a1dz4MABM3v27DO+SHD27NmuOd58803Tt29fU79+fZOdnW1OnTplHn30UdOsWTMTFBRk/uM//sNMmjTJ7Xmkpqaae++91zz77LOmQYMGJiwszDz22GOmqqrKsz9MXBbJycmmcePG5/x7qKamxhjz/fmblpbm+md+6623mi1btrj2y87ONu3atTNvv/22adq0qQkPDzcPPvigKSsrM8Z8f9789FwsKCgwxhizfPlyc+ONN5rAwEATFxdnxowZY6qrq13HrqysNMOHDzcxMTHG6XSabt26mfXr11+in0jdRuzAzJw503Tq1MkYY8xHH31kWrRo4foXef78+cbpdJr//d//NTt37jTPPPOMCQsLc4udd955xzRq1Mi8//77Zv/+/eb99983UVFRZs6cOcaY88fO3r17TUhIiHn99dfN7t27zerVq02HDh3MwIEDL9vPAJfON998YxwOh3nxxRd/dj9JpnHjxmbevHlmz549ZsSIESY0NNR88803xpizx05AQIBJSkoyGzZsMJs2bTKtW7c2//Vf/2WMMaa6utpERESYp556yuzdu9ds377dzJkzxxw8eNAcP37cPPnkk6ZNmzbmyJEj5siRI+b48eOuORo2bGhmzZpl9u3bZw4ePGhOnjxpsrKyzIYNG8z+/fvNO++8Y+rXr2/mz5/vmj81NdWEhoaaBx980PzrX/8yixYtMjExMebpp5++BD9VXEpff/21cTgcJicn57z7JiUlmb59+5oNGzaY3bt3myeffNJER0e7ztvs7GwTGhpq7rvvPvPFF1+YlStXmri4ONd5UVJSYhITE82gQYNc5+KpU6fMv//9b1O/fn0zdOhQs2PHDrNgwQLToEEDk52d7XrsESNGmPj4ePPxxx+bbdu2mdTUVHPFFVe4Hhv/D7ED07VrV9f/pVZXV5sGDRqYZcuWGWOMSUxMNEOHDnXbv0uXLm6x06JFCzNv3jy3fZ5//nmTmJhojDl/7KSlpZnBgwe73X/VqlXGz8/PnDhxwkPPEt6Sn59vJJkPPvjgZ/eTZMaOHeu6XV5ebiSZTz75xBhz9tiRZPbu3eu6T25uromNjTXGfB9Zkszy5cvP+ng//B/32eYYOXLkeZ/XsGHDTP/+/V23U1NTTVRUlKmoqHCtmzp1qgkNDTWnT58+7/HgO9atW3fWczY6OtqEhISYkJAQM3r0aLNq1SoTHh5uKisr3fZr0aKFeeutt4wx359n9evXd72SY4wxo0aNMl26dHHdvuWWW8zjjz/udoynn37aXHPNNa7/8TTm+/P7h/OpvLzcBAQEmLlz57q2nzx50sTHx5uJEyde9M/ANlyg/Cu3a9curV+/Xg899JAkyd/fXw8++KBmzpwpSdqxY4e6dOnidp8ff8FqRUWF9u3bp7S0NIWGhrqWF154Qfv27bugGbZu3ao5c+a43T85OVk1NTUqKCjw0DOFt5hf8Evar7/+etefQ0JCFB4erqNHj55z//r166tFixau240aNXLtHxUVpYEDByo5OVl9+/bVH//4Rx05cuSC5ujUqdMZ63Jzc9WxY0fFxMQoNDRU06dP16FDh9z2adeunerXr++6nZiYqPLychUWFl7Q48K3rV+/Xlu2bFGbNm1UVVWlrVu3qry8XNHR0W5/fxUUFLj9/desWTOFhYW5bv/4PD2XHTt2KDExUQ6Hw7WuW7duKi8v17///W/t27dP1dXV6tatm2t7QECAOnfurB07dnjwWduBC5R/5WbOnKlTp065XZBsjJHT6dQbb7xx3vuXl5dLkmbMmHFGFNWrV++CZigvL9djjz2mESNGnLGtSZMmF3QM+K6WLVvK4XBc0EXIP70Q2OFwqKam5hft/+O4mj17tkaMGKG8vDzNnz9fY8eO1eLFi3XTTTf97BwhISFut99991099dRTevXVV5WYmKiwsDC9/PLLys/PP+9zQt1z9dVXy+FwaNeuXW7rr7rqKklScHCwpO//7mrUqJGWL19+xjEiIyNdf/6l5zU8j9j5FTt16pTefvttvfrqq7rjjjvctvXr109//vOf1bp1a+Xn5+t3v/uda9u6detcf46NjVV8fLz279+vlJSUWs1xww03aPv27br66qtr90Tg06KiopScnKzc3FyNGDHijJAoKSlx+w+Dp3Xo0EEdOnRQZmamEhMTNW/ePN10000KDAzU6dOnL+gYq1evVteuXTV06FDXurO9crl161adOHHC9R/DdevWKTQ0VAkJCZ55MrgsoqOjdfvtt+uNN97Q8OHDzzhnf3DDDTeoqKhI/v7+atasWa0f72znYuvWrfX+++/LGON6dWf16tUKCwtT48aNFR0drcDAQK1evVpNmzaV9P0nBzds2MDH2M+Ct7F+xRYtWqRvv/1WaWlpuu6669yW/v37a+bMmXr88cc1a9YszZ49W7t371Z2dra2bdvmdpznnntOOTk5mjx5snbv3q0vvvhCs2fP1muvvXZBc4wZM0Zr1qxRenq6tmzZoj179ujDDz9Uenr6pXja8ILc3FydPn1anTt31vvvv689e/Zox44dmjx5stvbop5UUFCgzMxMrV27VgcPHtRnn32mPXv2qHXr1pK+f2uhoKBAW7Zs0ddff62qqqpzHqtly5bauHGjPv30U+3evVvjxo3Thg0bztjv5MmTSktL0/bt2/Xxxx8rOztb6enp8vPjr9q65s0339SpU6fUqVMnzZ8/Xzt27NCuXbv0zjvvaOfOnapXr56SkpKUmJiofv366bPPPtOBAwe0Zs0aPfPMM9q4ceMFP1azZs2Un5+vAwcO6Ouvv1ZNTY2GDh2qwsJCDR8+XDt37tSHH36o7OxsZWRkyM/PTyEhIRoyZIhGjRqlvLw8bd++XYMGDdLx48eVlpZ2CX8ydZR3LxmCN919992mT58+Z932w0WlW7duNRMmTDANGjQwoaGhJjU11YwePfqMCzvnzp1r2rdvbwIDA80VV1xhevTo4bq470I+er5+/Xpz++23m9DQUBMSEmKuv/76Mz4Cj7rt8OHDZtiwYaZp06YmMDDQXHnlleaee+5xXQwvySxYsMDtPhEREa6PhJ/ro+c/tmDBAvPDX2tFRUWmX79+plGjRiYwMNA0bdrUZGVluS4WrqysNP379zeRkZFnfPT8p3NUVlaagQMHmoiICBMZGWmGDBli/vCHP7j9e/DDR8+zsrJMdHS0CQ0NNYMGDTrj4lXUHYcPHzbp6emmefPmJiAgwISGhprOnTubl19+2XUhellZmRk+fLiJj483AQEBJiEhwaSkpJhDhw4ZY85+Ifzrr79umjZt6rq9a9cuc9NNN5ng4OBf9NHzEydOmOHDh5sGDRrw0fPzcBjzC64eBACc1cCBA1VSUvKzX3kBwDt4bRUAAFiN2AEAAFbjbSwAAGA1XtkBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgD8qg0cOFD9+vXz9hgALiE+eg7gV620tFTGmEv6ZaQAvIvYAQAAVuNtLABe995776lt27YKDg5WdHS0kpKSVFFR4XqL6bnnnlNMTIzCw8P1+9//XidPnnTdt6amRjk5OWrevLmCg4PVrl07vffee27H37Ztm+6++26Fh4crLCxMN998s/bt2yfpzLexzne8b7/9VikpKYqJiVFwcLBatmyp2bNnX9ofEICL4u/tAQD8uh05ckQPPfSQJk6cqP/8z//Ud999p1WrVumHF52XLFmioKAgLV++XAcOHNAjjzyi6OhoTZgwQZKUk5Ojd955R9OmTVPLli21cuVK/fa3v1VMTIxuueUWffnll+rRo4d69uyppUuXKjw8XKtXr9apU6fOOs/5jjdu3Dht375dn3zyiRo0aKC9e/fqxIkTl+3nBeCX420sAF61efNmdezYUQcOHFDTpk3dtg0cOFAfffSRCgsLVb9+fUnStGnTNGrUKJWWlqq6ulpRUVH6+9//rsTERNf9/vu//1vHjx/XvHnz9PTTT+vdd9/Vrl27FBAQcMbj//jbyquqqs57vHvuuUcNGjTQrFmzLtFPBICn8coOAK9q166devXqpbZt2yo5OVl33HGHfvOb3+iKK65wbf8hdCQpMTFR5eXlKiwsVHl5uY4fP67bb7/d7ZgnT55Uhw4dJElbtmzRzTfffNbQ+am9e/ee93hDhgxR//79tXnzZt1xxx3q16+funbtelE/AwCXFrEDwKvq1aunxYsXa82aNfrss880ZcoUPfPMM8rPzz/vfcvLyyVJf/vb33TllVe6bXM6nZKk4ODgC57lQo7Xu3dvHTx4UB9//LEWL16sXr16adiwYXrllVcu+HEAXF7EDgCvczgc6tatm7p166asrCw1bdpUCxYskCRt3bpVJ06ccEXLunXrFBoaqoSEBEVFRcnpdOrQoUO65ZZbznrs66+/Xn/6059UXV193ld3rr322vMeT5JiYmKUmpqq1NRU3XzzzRo1ahSxA/gwYgeAV+Xn52vJkiW644471LBhQ+Xn5+urr75S69at9c9//lMnT55UWlqaxo4dqwMHDig7O1vp6eny8/NTWFiYnnrqKT3xxBOqqalR9+7dVVpaqtWrVys8PFypqalKT0/XlClTNGDAAGVmZioiIkLr1q1T586ddc0117jNciHHy8rKUseOHdWmTRtVVVVp0aJFat26tZd+egAuBLEDwKvCw8O1cuVKTZo0SWVlZWratKleffVV9e7dW/Pnz1evXr3UsmVL9ejRQ1VVVXrooYf07LPPuu7//PPPKyYmRjk5Odq/f78iIyN1ww036Omnn5YkRUdHa+nSpRo1apRuueUW1atXT+3bt1e3bt3OOs/5jhcYGKjMzEwdOHBAwcHBuvnmm/Xuu+9e8p8TgNrj01gAfNaPPykFALXFLxUEAABWI3YAAIDVeBsLAABYjVd2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFb7/wCNceN9pqPCGgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 以df3的species为横轴数据，绘制计数图\n",
    "sns.countplot(data=df3, x=\"species\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba0fcca7-bae5-4c49-b9fe-54fc8b757674",
   "metadata": {},
   "source": [
    "## 绘制饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b833bc33-b979-4cde-adf9-dc086d129590",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fruit</th>\n",
       "      <th>vote</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>apple</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>orange</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>banana</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pear</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    fruit  vote\n",
       "0   apple    32\n",
       "1  orange    22\n",
       "2  banana    19\n",
       "3    pear     7"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 设置示例数据\n",
    "df4 = pd.DataFrame({'fruit': ['apple', 'orange', 'banana', 'pear'],\n",
    "                     'vote': [32, 22, 19, 7]})\n",
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "86004e5a-08b9-456c-8558-3d86061eb803",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对df4的vote数据绘制饼图\n",
    "plt.pie(df4['vote'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e8a9e640-5ad9-4f32-87f9-90df4772463c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对df4的vote数据绘制饼图，标签对应为df4的fruit数据\n",
    "plt.pie(df4['vote'], labels=df4['fruit'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "12b033a5-5fdf-4bc4-84c5-d720c4c71834",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对df4的vote数据绘制饼图，标签对应为df4的fruit数据，并在图表上展示比例数字，保留1位小数\n",
    "plt.pie(df4['vote'], labels=df4['fruit'], autopct='%.1f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d30c3ff1-97fa-4388-b655-b2b332841301",
   "metadata": {},
   "source": [
    "## 更改图表颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "86dbdd8d-0ad4-48ed-9ede-d7c3a2013abb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 更改以下方法调用，把点的颜色改成红色\n",
    "sns.scatterplot(df1, x=\"total_bill\", y=\"tip\", color=\"red\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "471021b6-c6f6-4baa-b525-0be28c4055b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 更改以下方法调用，把线的颜色改成绿色\n",
    "sns.lineplot(data=df2, x=\"year\", y=\"passengers\", color=\"green\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "55ec5d10-97be-45a3-8dda-32500d0be568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 更改以下方法调用，把条柱的颜色改成#c287c7这个十六进制所对应的颜色\n",
    "sns.histplot(data=df3, x=\"body_mass_g\", color=\"#c287c7\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64a7a56b-759a-42b3-910c-6676447eb074",
   "metadata": {},
   "source": [
    "## 更改图表色盘"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b98b1adb-c1b0-4042-aea7-43df49a9a6d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 更新下方代码，把条形图的色盘更改为“pastel”（注意一旦set_palette被调用后，将对之后所有绘制的图表生效）\n",
    "sns.set_palette(\"pastel\")\n",
    "sns.barplot(data=df3, x=\"species\", y=\"body_mass_g\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "00f4cd03-bbb0-479c-9e97-6674513f5293",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 更新下方代码，把条形图的色盘更改为“crest”（注意一旦set_palette被调用后，将对之后所有绘制的图表生效）\n",
    "sns.set_palette(\"crest\")\n",
    "sns.barplot(data=df3, x=\"species\", y=\"body_mass_g\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef81c52a-3d38-4aab-b297-f4207b786628",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43f923fb-fc02-4ad4-a302-2773875c4c47",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27a79092-4913-469d-9be1-ed74b32cd58c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
